TEAMING.AI project

The international research project teaming.ai with 15 partners, deals with the interaction of man and machine as a team. The goal is to achieve true teaming through a novel software framework. For example, AI systems can very easily perform repetitive tasks with high accuracy, while humans find it easier to understand interrelationships. If both team partners compensate for each other’s weaknesses, efficient, symbiotic working is possible.

Technologically, the project is concerned with the combination of knowledge graphs and deep-learning-based machine learning. Here, too, the advantages of both worlds are to be combined. Explicit knowledge representation with fast, generalizable processing.

In this project, PROFACTOR’s product AssemblyEye enables the digitization of human work in the high-precision manufacturing of large wind turbine parts. The intended enrichment of the Profactor technology with the aspect of teaming capability is a valuable extension in this context.